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Self Organizing Map written in Python (Uses neural networks for data analysis).
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Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
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A system for quickly generating training data with weak supervision.
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High performance distributed data processing in NodeJS.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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A beautiful graphing toolkit for Ruby.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Basic sampling algorithms for Julia.
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A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
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Julia package for loading many of the data sets available in R.
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A self-organizing data hub with S3 support.
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A python framework to transform natural language questions to queries in a database query language.
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A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
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Markov Chain Monte Carlo sampling toolkit.
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Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Portable annotation tool for creating labeled datasets.
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Fast DataFrame library for Rust and Python, designed as a faster alternative to Pandas.
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CLI tool that allows you to build data profiles and write assertion tests for easily evaluating and tracking your data's reliability over time.
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A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL.
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Analyzes structured data and helps produce queries, insights or visualizations.
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Simple, realtime visualization of neural network training performance.